Add Cosmos3 model family (4B/16B/64B) with Ideogram-style JSON prompt encoding#2856
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[WIP] Add JSON style prompts for Cosmos3 pretrained models
Add Cosmos3 model family (4B/16B/64B) with Ideogram-style JSON prompt encoding
Jul 20, 2026
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…cosmos3-ramtorch-bench # Conflicts: # simpletuner/helpers/training/iteration_tracker.py
cosmos3 performance tuning
add tuned cosmos3 gpu examples
cosmos3 examples & docs
…ot/model-support-cosmos3
Cosmos3 ramtorch bench
…/cosmos3-flavour-memory-presets
cosmos3: int8-quanto configs with offload enabled
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This pull request adds comprehensive support and documentation for the NVIDIA Cosmos3 model family across multiple languages. The main changes include updates to the quickstart and options documentation to introduce Cosmos3, as well as the addition of a new, detailed quickstart guide for Cosmos3 in Spanish.
Cosmos3 Model Support and Documentation:
Quickstart Documentation Updates:
QUICKSTART.md,.es.md,.hi.md,.ja.md,.pt-BR.md,.zh.md), including links to new Cosmos3 quickstart guides in each language. [1] [2] [3] [4] [5] [6]Options Documentation Updates:
--cosmos3_reasoner_componentand--cosmos3_generator_component, in all supported languages, explaining their purpose, usage, and available choices for Cosmos3 model configuration. [1] [2] [3] [4] [5] [6]New Quickstart Guide:
quickstart/COSMOS3.es.md), detailing model flavors, hardware recommendations, installation, example configs, dataset handling, and validation procedures.These changes ensure that users can easily configure, train, and validate models with Cosmos3 support, with clear guidance available in multiple languages.